
Rola is a Machine Learning Architect at Tech 42. With a PhD in neuroscience & bioinformatics from McGill University, she brings scientific rigor and a rare perspective to technical challenges.
As an AWS Community Hero, Golden Jacket Ambassador, and co-leader of the Montreal AWS User Group, Rola is deeply committed to community building. She regularly leads workshops on advanced topics ranging from LLM fine-tuning to building AI agents with AWS Bedrock. Her expertise is backed by extensive AWS certifications and a history of peer-reviewed publications in prestigious journals like Nature Genetics.
Currently, Rola focuses on making the complex accessible, writing about topics like agentic workflows and AI-powered document processing to help practitioners navigate the evolving AI landscape.
AI Agents have been defined as software entities designed to perceive their environment, make decisions and take actions to achieve specific goals. We dive into the differences between AI Agents and AI Workflows, the components of agents, and critical components and considerations for building an AI agent.

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